GIS Day is an annual celebration of geospatial technologies, held on the Wednesday of Geography week. The Stanford Geospatial Center uses GIS Day as an opportunity to connect Stanford researchers to the cutting edge of geospatial technologies, services and applications through talks, workshops and other activities. This year, we'll have analysts, developers and scientists from DigitalGlobe, Mapbox, CARTO, NASA, The National Geospatial Intelligence Agency and more, talking about their work to leverage geospatial data and technologies using machine learning, drones, satellite imagery, and historical data!

For nearly four years, the Stanford Digital Repository (SDR) has been home to the research outputs of scientists and scholars from across Stanford’s campus. But while those data files, videos, source code, microscopy images, survey results, maps and more have been discoverable and accessible through the Libraries’ online catalog, SearchWorks, it has been hard to get an overview of all the available data. Until now.

Chemists need a wide array of information before doing experimental work in the lab. To help them find chemical safety information they need more effectively and efficiently, a Chemical Safety Portal was created that searches multiple resources at one time. Developed in collaboration with Deep Web Technologies, this search site includes 60+ resources.

When Stanford Digital Repository staff found out someone was depositing research data about using x-ray lasers to explode jets of liquid, I have to admit there was a bit of excitement. Researching explosions (even on a small scale) sounds like an immense amount of fun. But Stanford researcher Claudiu Stan and his colleagues were doing way more important things out at SLAC than just having fun. They were performing serious research into fluid dynamics.

Aimed at providing news as quick info bytes, each topic is covered in a PowerPoint slide. This format enables us to easily re-use this content in a digital sign at the library. Please see: Swain Library News - 22 April 2016

Many scientists are making the reproducibility of their research a much higher priority these days than they used to. But it's a time consuming task, which means that many are searching for tools and workflows to help facilitate their efforts.

Hatef Monajemi, a PhD student in Civil and Environmental Engineering, and his PhD advisor Professor David L. Donoho, have developed a new piece of software that can make reproducibility an easier goal to achieve. His new software is called Clusterjob (CJ). This software can be used to develop reproducible computational packages and make the generation of data for a research study fully reproducible. CJ is an open-source software available on GitHub.